Invesco Oppenheimer Mutual Fund Forecast - Simple Regression

OAACX
 Fund
  

USD 12.56  0.02  0.16%   

Invesco Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Invesco Oppenheimer historical stock prices and determine the direction of Invesco Oppenheimer Portfolio's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of Invesco Oppenheimer historical fundamentals such as revenue growth or operating cash flow patterns.
Please check Historical Fundamental Analysis of Invesco Oppenheimer to cross-verify your projections.
  
Most investors in Invesco Oppenheimer cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Invesco Oppenheimer's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Invesco Oppenheimer's price structures and extracts relationships that further increase the generated results' accuracy.
Simple Regression model is a single variable regression model that attempts to put a straight line through Invesco Oppenheimer price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Invesco Oppenheimer Simple Regression Price Forecast For the 10th of August

Given 90 days horizon, the Simple Regression forecasted value of Invesco Oppenheimer Portfolio on the next trading day is expected to be 12.15 with a mean absolute deviation of 0.30, mean absolute percentage error of 0.12, and the sum of the absolute errors of 18.38.
Please note that although there have been many attempts to predict Invesco Mutual Fund prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Invesco Oppenheimer's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Invesco Oppenheimer Mutual Fund Forecast Pattern

Backtest Invesco OppenheimerInvesco Oppenheimer Price PredictionBuy or Sell Advice 

Invesco Oppenheimer Forecasted Value

In the context of forecasting Invesco Oppenheimer's Mutual Fund value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Invesco Oppenheimer's downside and upside margins for the forecasting period are 10.99 and 13.31, respectively. We have considered Invesco Oppenheimer's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value 12.56
12.15
Expected Value
13.31
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Invesco Oppenheimer mutual fund data series using in forecasting. Note that when a statistical model is used to represent Invesco Oppenheimer mutual fund, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria117.8215
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2964
MAPEMean absolute percentage error0.0243
SAESum of the absolute errors18.3771
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Invesco Oppenheimer Portfolio historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Invesco Oppenheimer

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Invesco Oppenheimer. Regardless of method or technology, however, to accurately forecast the stock or bond market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Invesco Oppenheimer's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy. Please use the tools below to analyze the current value of Invesco Oppenheimer in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
11.4012.5613.72
Details
Intrinsic
Valuation
LowReal ValueHigh
11.3212.4813.64
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
11.4812.0712.67
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Invesco Oppenheimer. Your research has to be compared to or analyzed against Invesco Oppenheimer's peers to derive any actionable benefits. When done correctly, Invesco Oppenheimer's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Invesco Oppenheimer.

Other Forecasting Options for Invesco Oppenheimer

For every potential investor in Invesco, whether a beginner or expert, Invesco Oppenheimer's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Invesco Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Invesco. Basic forecasting techniques help filter out the noise by identifying Invesco Oppenheimer's price trends.

Invesco Oppenheimer Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Invesco Oppenheimer mutual fund to make a market-neutral strategy. Peer analysis of Invesco Oppenheimer could also be used in its relative valuation, which is a method of valuing Invesco Oppenheimer by comparing valuation metrics with similar companies.
Exxon Mobil CorpAmn Healthcare ServicesTwist Bioscience CorpFreedom Holding CorpKEURIG DR PEPPERGX Nasdaq-100 CoveredFranklin Mutual EuropeanGARDNER DENVER INCUSA Value FactorBetapro Canadian GoldAramark Holdings CorpLong-Term Govt BondLIFE STORAGE INCMaiden Holdings NorthVistra Energy Corp
 Risk & Return  Correlation

Invesco Oppenheimer Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Invesco Oppenheimer's price movements, , a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Invesco Oppenheimer's current price.

Invesco Oppenheimer Risk Indicators

The analysis of Invesco Oppenheimer's basic risk indicators is one of the essential steps in helping accuretelly forecast its future price. The process involves identifying the amount of risk involved in Invesco Oppenheimer's investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting Invesco Oppenheimer stock price, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Invesco Oppenheimer Investors Sentiment

The influence of Invesco Oppenheimer's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Invesco. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock markets does not have a solid backing from leading economists and market statisticians.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Invesco Oppenheimer in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Invesco Oppenheimer's short interest history, or implied volatility extrapolated from Invesco Oppenheimer options trading.

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Please check Historical Fundamental Analysis of Invesco Oppenheimer to cross-verify your projections. Note that the Invesco Oppenheimer information on this page should be used as a complementary analysis to other Invesco Oppenheimer's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.

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Please note, there is a significant difference between Invesco Oppenheimer's value and its price as these two are different measures arrived at by different means. Investors typically determine Invesco Oppenheimer value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Invesco Oppenheimer's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.